ATOM Accelerating Therapeutics for Opportunities in Medicine November

ATOM Accelerating Therapeutics for Opportunities in Medicine November 2017

ATOM Consortium Accelerating Therapeutics for Opportunities in Medicine Mission To accelerate the development of more effective therapies for patients Vision A new starting point: Transform drug discovery from a slow, sequential, and high-failure process into a rapid, integrated, and patient-centric model Highperformance computing How? Diverse biological data Emerging biotech capabilities Integrated precompetitive platform 3 year goal 1 year ATOM Accelerating Therapeutics for Opportunities in Medicine From target to patient-ready in <1 year 2

A new model for collaborative, cross-disciplinary work Harnessing frontier technologies Supercomputing Multiscale modeling Machine learning Cell and tumor models Protein models Tumor organoids ATOM Data and analytics Single cell biology Accelerating Therapeutics for Opportunities in Medicine Computational technologies Patient models Automated platforms Experimenta l technologie s 3

Navigating the molecular recognition-interaction space Active learning • What’s the next experiment? • What’s the next simulation? Initialize designs • Virtual screen • Rational design Synthesize compounds Biological assays Outside databases Literature Mechanistic simulation Data and model lake development and operations Open computing and tool ecosystem Project execution 4

Integrated ATOM work streams How staff at ATOM will work together to solve key questions for the workflow Data management & computing infrastructure How should we secure, store, access, and share our data and models? Computational models Discovery & translational assays Can we develop mechanistic and data-driven models that are predictive of human biology? Can we efficiently run human-relevant assays in parallel that will better inform our models? Molecular design & synthesis Active machine learning Can we develop algorithms for chemical synthesis to execute through an automated platform? What are the key experiments or data that we need to refine our models? ATOM Accelerating Therapeutics for Opportunities in Medicine Quantitative pharmacology Can we develop patient -specific models to predict on- and offtarget effects in realtime? 5

NCI/Fredrick National Laboratories Fellowships 2 Postdoc positions, FNL employees (1 -2 yrs) Research project within ATOM focusing on at least one of the workstreams • Computational scientists participate in empirical work and vice versa • Exposure to drug discovery from start to IND/regulatory filings An ideal candidate has • A strong background in Computational Biology, Chemistry, Cancer, Highperformance computing • An interest in team science across scientific disciplines and building a skill set outside of their primary discipline • An existing or planned research relationship with a USCF Faculty member interested in ATOM • Flexibility to start ca 2 nd quarter of 2018 ATOM Accelerating Therapeutics for Opportunities in Medicine 6

GSK ATOM Consortium Postdoctoral Fellowships Postdoctoral Researcher in Computational Chemistry & Drug Postdoctoral Researcher in Quantitative Pharmacology Postdoctoral Researcher in Computational ADME/Toxicology Postdoctoral Researcher in Pathway, Cell and Tumor Modeling http: //us. gsk. com/en-us/careers/search-jobs-and-apply/ ATOM Accelerating Therapeutics for Opportunities in Medicine 7

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